2026 PhD Residency, Machine Learning Explainability (Tapestry) jobs in United States
cer-icon
Apply on Employer Site
company-logo

X, The Moonshot Factory · 14 hours ago

2026 PhD Residency, Machine Learning Explainability (Tapestry)

X, The Moonshot Factory is focused on innovative solutions for the electric grid, leveraging AI to enhance energy efficiency. The PhD Resident will research AI techniques for improving explainability in complex decision-making systems related to electric grid operations.

AerospaceAugmented RealityAutomotiveRobotics

Responsibilities

Research and prototype explainability approaches for complex optimization and decision-making systems in the electric grid
Apply LLMs to generate natural-language explanations of model outputs, constraints, and tradeoffs
Explore reasoning over graph-structured data (e.g., power grids) to produce grounded, faithful explanations
Investigate methods to detect and explain incorrect or anomalous network model inputs in natural language
Translate academic research into practical feasibility demonstrations using real or simulated grid data
Collaborate with machine learning researchers and power systems experts to refine approaches and evaluation methods
Clearly document findings and communicate insights to inform future research and product directions

Qualification

Machine LearningDeep LearningLarge Language ModelsGraph Neural NetworksPythonPyTorchJAXOptimizationExplainabilityInterpretabilityResearch ExperienceCommunication

Required

Currently enrolled in a PhD program in Machine Learning, Computer Science, Electrical Engineering, or a related field
Strong research experience in machine learning or deep learning
Hands-on experience with LLMs, transformer-based models, or graph neural networks
Strong programming skills in Python and experience with frameworks such as PyTorch or JAX
Ability to reason about complex systems and communicate technical concepts clearly
Interest in applying AI to high-impact, real-world infrastructure challenges

Preferred

Experience with optimization, convex optimization, or decision-making systems
Familiarity with power systems, energy modeling, or networked physical systems
Prior work in explainability, interpretability, or human-centered AI
Publications in ML or AI venues (e.g., NeurIPS, ICML, ICLR)
Experience working on applied research projects in industry or startup environments

Benefits

Medical, dental, and vision coverage
Competitive residency stipend and housing relocation support for the duration of the program.
Direct mentorship from industry-leading research scientists and engineers.
Opportunity to work on "moonshot" problems with access to Alphabet-scale compute and resources.

Company

X, The Moonshot Factory

twittertwittertwitter
company-logo
X, the moonshot factory invents and launches breakthrough technologies and radical solutions. It is a sub-organization of Alphabet.

Funding

Current Stage
Growth Stage

Leadership Team

leader-logo
Helen Riley
COO/CFO of X, The Moonshot Factory (aka Google X)
linkedin
leader-logo
Artem Goncharuk
Director of Engineering
linkedin
Company data provided by crunchbase